"LSTM-Based Unsupervised Anomaly Detection in High-Performance Computing: A ..."

Emmen Farooq, Andrea Borghesi (2024)

> Home

Details and statistics

DOI: 10.1109/BIGDATA62323.2024.10825337

access: closed

type: Conference or Workshop Paper

metadata version: 2025-04-01

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/bigdataconf/FarooqB24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/bigdataconf/FarooqB24
Emmen Farooq, Andrea Borghesi:
LSTM-Based Unsupervised Anomaly Detection in High-Performance Computing: A Federated Learning Approach. IEEE Big Data 2024: 7735-7744

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.